# Calculate Well Interference and Optimize Well Spacing for Maximum

```CASE STUDY: WELL INTERFERENCE AND WELL SPACING
Calculate Well Interference and Optimize
Well Spacing for Maximum Production
Learn How a Top Operator in the Eagleford Reduced Risk and Improved ROI
CASE STUDY: WELL INTERFERENCE AND WELL SPACING
OVERVIEW
Drilling additional wells in productive acreage is common practice, but determining
optimal placement to maximize production for new wells is a challenge—and
anticipating the impact on existing wells with active production is even more
difficult. Overly cautious spacing could mean missed opportunity, while excessively
tight spacing can decrease productivity for multiple wells. In both cases, the
negative impact on ROI is too big of a risk.
The VP of Engineering for a successful mid-sized independent oil company
confronted this dilemma when overseeing tight drilling operations in the
Eagleford. Most of the company’s new wells were being drilled in close proximity
to existing wellbores, and the production team noted a significant impact on
current production when each new well came online.
Using the proprietary Well Spacing Optimization Workflow in DI Transform
the production team was able to quantify the impact of new wells on existing
production, predict future production, and determine optimal well placement to
maximize productivity in both new and existing wells.
CHALLENGE
How do I calculate my well interference? How do I optimize
my well spacing or plan my field? How can I maximize my
production and ROI?
SOLUTION
Using the Well Spacing Optimization Workflow with DI
Transform, the production team was able to quantify and
calculate the impact of new wells on existing production.
PRODUCTS USED
DI Transform, DI Analytics Graded Acreage
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CASE STUDY: WELL INTERFERENCE AND WELL SPACING
STEP 1: Analyze Well Spacing to Accurately Predict Production for
New Infill Wells
In order to predict the impact of future drilling activity in crowded acreage, the team first needed a
detailed understanding of how recent infill wells had affected overall productivity.
Products Used:
• DI Transform features used: Time Display Field Development, Calculate Well Spacing
Tool, MV Stats
With Drillinginfo:
Using DI Transform, the team could quickly calculate lateral distances to nearby wells at the time they
were drilled. They used this information as part of a sophisticated multivariate model incorporating
relevant production, engineering, geoscience, and seismic data. Building and refining the model was
simple using powerful data analytics tools in DI Transform, and within minutes, the team generated
variable plots that made it easy to identify important trends and gauge the impact of variables like:
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Wellbore separation distance
Well age and production history
Engineering details such as proppant per foot and the extent of subsurface fracturing
Geological characteristics such as rock properties and fault location
Without Drillinginfo:
At best, companies that attempt to
study the impact of newer wells on
existing production tend to be limited
to review of basic factors such as
production data and location. Building
more sophisticated multivariate
models could take weeks or months,
and the models would still exclude
crucial elements such as reservoir
quality.
Snapshot of field development over time using the Time Display.
Blue wellbore are older active wells, red wellbores are newer
interference wells. Pie bubbles show oil and water time series
data. A spike in the water cut of an existing well is used to
quantify interference from the completion of a new well nearby.
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CASE STUDY: WELL INTERFERENCE AND WELL SPACING
STEP 2: Create a Production Prediction (Sweet-spot) Map That Takes
Well Spacing Into Account
Next, the team needed to apply their model to the
company’s open acreage to identify promising new well
sites and assess their potential productivity.
Products Used:
• DI Transform features used: Mapping Tools, New
Well Production Prediction Map Builder
With Drillinginfo:
Using the multivariate model within DI Transform, the team
created a series of graphs to enable rapid, visual analysis
of key factors such as production, water cut change, well
separation, reservoir depletion, and reservoir quality.
This analysis indicated that new infill wells maximized
production when they were drilled at least 2250 feet from
existing wells that were both high-producing and relatively
young (producing less than 200 days). The team also
pinpointed an optimal value of 400 pounds of proppant per
foot.
New Production Prediction (Sweet-spot) Map (bbl/d
for a new well).The maps enabled an immediate
visual assessment, which the team used to zero in on
promising well sites for further assessment—including
predicted production.
Without Drillinginfo:
Without intuitive heat maps based on robust multivariate analytical models, narrowing the options for
new infill well sites is hit-or-miss at best. Comparing potential sites is an even less precise process,
and the cumbersome analysis involved (using manual calculations or limited tools) create a high
likelihood of inaccurate results or a woefully incomplete basis for decision-making.
“
Without intuitive heat maps based on robust multivariate
analytical models, narrowing the options for new infill well
sites is hit-or-miss at best.
”
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CASE STUDY: WELL INTERFERENCE AND WELL SPACING
STEP 3: Calculate Impact on Existing Wells
To make sure that new infill wells would not drain production from current wells (and reduce the
company’s overall production and ROI), the team needed to assess the new wells’ impact on existing
production.
Products Used:
• DI Transform feature used: Producing Days Tool
With Drillinginfo:
To calculate an interference analysis
examining the impact on existing wells, the
team took advantage of the Producing Days
Tool. Making a few quick adjustments to key
variables, the team looked at existing wells’
production before and after the addition of
proposed new infill wells. Similarly, the team
analyzed changes in water cut for existing
wells, providing another valuable indicator of
well communication relevant to productivity.
Change in Production Predicted for Existing Active
Wells (factor change in bbl/d)
Without Drillinginfo:
Companies might consider the “big picture”
and weigh the impact on existing production,
but they would likely be forced to do so using
a limited set of variables to build crude models. This painstaking process could still yield questionable
results, and the opportunity cost of postponing drilling while chasing down answers would also
reduce ROI.
“
Companies might consider the “big picture” and weigh the impact on
existing production, but they would likely be forced to do so using a
limited set of variables to build crude models. This painstaking process
could still yield questionable results, and the opportunity cost of
postponing drilling while chasing down answers would also reduce ROI.
”
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CASE STUDY: WELL INTERFERENCE AND WELL SPACING
STEP 4: Optimize Production
The final, crucial step was to compare predicted production of new wells to the impact on existing
production, so the VP of Engineering could recommend the optimal placement for maximum overall
ROI.
Products Used:
• DI Transform
With Drillinginfo:
With DI Transform, one of
the most crucial, challenging
steps actually becomes
the easiest. Because both
potential new well sites
and existing wells are
represented visually in
acreage maps, the team
was able to review them
side-by-side and identify the
most promising places to
drill to either maximize new
production or boost existing
production.
Based on the combined map, the team immediately identified an area where drilling a
single well at the recommended distance for maximum new production would actually
yield significantly less, in terms of overall productivity, than drilling two new wells in
closer proximity. Overall output would more than double, from 1250 barrels per day to
more than 2600 barrels per day.
Without Drillinginfo:
Without the advanced functionality and intuitive tools in DI Transform, companies would struggle
to conduct this kind of analysis at all, let alone with any degree of precision or confidence. In most
cases, recommendations would have to be based on predicted productivity of new wells alone,
resulting in millions of dollars of unrealized profit.
Even more powerfully, both models can be easily integrated to generate a combined map layer with
“heat mapping” to show, in vivid color, where new wells could be placed to achieve maximum new
output without affecting (or potentially boosting) existing production.
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CASE STUDY: WELL INTERFERENCE AND WELL SPACING
CONCLUSION
Equipped with the team’s multivariate analysis, the VP of Engineering selected two sites for new infill
wells. Once the new wells came online, both began producing at or above the volumes expected, and
the existing well saw an immediate increase as well. With the first three months, production aligned
with the volumes predicted by the DI Transform model with exceptional accuracy, validating the
team’s analysis and resulting in a major boost to revenue.
Based on this success, company leadership decided to increase investment in infill drilling, confident
that the VP and his team would be able to pinpoint additional well sites to maximize productivity
across their portfolio and drive ROI through the roof.
Learn how our solutions can help you optimize well placement for maximum production and ROI from
new and existing wells. Speak with one of our dedicated DI Transform specialists today.
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